Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of experimental data using database technologies. To bridge the gap between the needs of the Data-Intensive Research fields and the current DBMS technologies, we have introduced SciQL (pronounced as ‘cycle’) in [15]. SciQL is the first SQL-ba
Evaluating the performance of scientific data processing systems is a difficult task considering the...
Nowadays many scientific experiment results involve multi-dimensional arrays. It is desirable to sto...
Abstract — Data-intensive applications in e-Science require scalable solutions for storage as well a...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
textabstractScientific discoveries increasingly rely on the ability to efficiently grind massive amo...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific applications are still poorly served by contemporary relational database systems. At best...
Scientific applications are still poorly served by contemporary re-lational database systems. At bes...
htmlabstractScientific applications are still poorly served by contemporary relational databas...
SciQL (pronounced as ‘cycle’) is a novel SQL-based array query language for scientific applications ...
textabstractSciQL (pronounced as ‘cycle’) is a novel SQL-based array query language for scientific a...
Abstract: As a general rule, scientists have shunned relational data management systems (RDBMS),...
In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs ...
Evaluating the performance of scientific data processing systems is a difficult task considering the...
Nowadays many scientific experiment results involve multi-dimensional arrays. It is desirable to sto...
Abstract — Data-intensive applications in e-Science require scalable solutions for storage as well a...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
textabstractScientific discoveries increasingly rely on the ability to efficiently grind massive amo...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific discoveries increasingly rely on the ability to efficiently grind massive amounts of expe...
Scientific applications are still poorly served by contemporary relational database systems. At best...
Scientific applications are still poorly served by contemporary re-lational database systems. At bes...
htmlabstractScientific applications are still poorly served by contemporary relational databas...
SciQL (pronounced as ‘cycle’) is a novel SQL-based array query language for scientific applications ...
textabstractSciQL (pronounced as ‘cycle’) is a novel SQL-based array query language for scientific a...
Abstract: As a general rule, scientists have shunned relational data management systems (RDBMS),...
In CIDR 2009, we presented a collection of requirements for SciDB, a DBMS that would meet the needs ...
Evaluating the performance of scientific data processing systems is a difficult task considering the...
Nowadays many scientific experiment results involve multi-dimensional arrays. It is desirable to sto...
Abstract — Data-intensive applications in e-Science require scalable solutions for storage as well a...
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